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Tour social network data that are heterogeneous contain not only the quantitative structured evaluation data, but also the qualitative non-structured data. This is a big data scenario. How to evaluate tour online review and then recommend to potential tourists quickly and accurately are important parts of social responsibility of tour companies. The purpose of this paper is to propose a new method for evaluating tour online review based on grey 2-tuple linguistic.

The phenomenon of “poor information” exists in some big data scenario. According to social responsibility, grey 2-tuple linguistic evaluation model for tour online review is proposed.

Tour social networks contain data that are valuable to each individual on tourism industry's value chain. Grey 2-tuple linguistic evaluation model can be used for evaluating tour online reviews. This is a systems thinking method that takes social responsibility into account.

Due to the complex links among reviewers in social network, network mining approaches and models are expected to be added to this research in the near future.

Grey 2-tuple linguistic evaluation method can contribute to the future research on evaluating a variety of tour social network comment data in the real world.

A new evaluation method for making evaluation and recommendations based on tour social network comment information is proposed.

Based on the unilateral CT images of a patient in stage III for osteonecrosis of the femoral head, three subject‐specific three‐dimensional finite element models of proximal femur are developed by reverse engineering method, including normal model, necrosis model and prothetic model. Based on the same CT set, the material properties are assigned to each finite element model. Then, by finite element analysis, the process of bone grafting for osteonecrosis of the femoral head is simulated. The results indicate that when the necrosis parts of femoral head are removed, the stresses and displacements of proximal femur increase correspondingly, but after the surgery of bone grafting, the stresses and displacements of proximal femur efficiently decrease and become more close to the normal state. The results are useful for a better understanding of the procedure of the bone grafting surgery.

This article examines the influence of Daoist nothingness on leadership in growing Chinese small and medium enterprises (SMEs). Daoism is based on a “letting-go” approach through maintaining inherent openness, which challenges goal-oriented and hierarchical approaches typical of Western and Confucian leadership theories. This facilitates the cross-fertilization of ideas related to the effective management of smaller firms.

This study focuses on SME leaders in a group of 12 growing SMEs in the Shanghai logistics industry in China. Narrative and semi-structured interviews explored emerging aspects beyond the established model of leadership associated with reputation-building. This led to in-depth, thick descriptions, broadening our understanding of leadership and reputation-building.

SME leaders follow nothingness by continuously adopting a letting-go approach which spontaneously fosters reputation-building. By maintaining inherent openness, nothingness functions as an enabling principle that mobilizes multi-beings leading to reputation-building in unintended ways.

A greater plurality of empirical and methodological contexts in Western and non-Western countries helps to understand the dynamics and intersection of Daoist nothingness, leadership and reputation-building.

SME leaders recounted how they discursively practised nothingness for extended periods in their everyday practice. The study shows the significance of nothingness for SME leaders who aspire to grow their businesses by reputation-building among salient stakeholders.

Daoist nothingness provides insights into the distinctive approach of Chinese SME leaders and their relationships with local and distant stakeholders. By engaging in active non-action they relax pre-determined intentions and immerse themselves in the process of leading, where the connections between goals and processes are automatically animated. Such an approach differs from the top-down and goal-oriented approach to leadership adopted in many Western SMEs.

This paper makes two theoretical contributions. First, it indicates the powerful influence of Daoist nothingness on leadership by drawing on the broader context of entrepreneurship in Chinese SMEs. Secondly, it enriches existing concepts such as reputation by endowment and reputation borrowing by demonstrating how Daoist nothingness silently fosters both local reputation and generalized reputation.

Based on the stakeholder theory, this study aims to investigate Chinese entrepreneurial firms’ selective satisfaction of Stakeholder demands on corporate social performance (CSP).

This study uses the survey data from privately owned companies in China, which is collected by the All-China Federation of Industry and Commerce in three years of 2006, 2008 and 2010.

This paper suggests a contingency model of CSP: entrepreneurial firms selectively perform corporate social responsibility (CSR) issues rather than all CSP dimensions. Furthermore, this study illustrates that international operations, such as overseas exports, would strengthen the above positive relationships between foreign ownership and selected CSR issues.

This study contributes to the understanding of CSR activities in Chinese entrepreneurial firms, which are more selective when performing social issues. In addition to the theoretical contribution, this work suggests a contingency model to the stakeholder theory, indicating the moderating factors to the entrepreneurial firms’ motivation to perform specific social responsibilities.

A new roller compacted concrete dam of Fengman hydropower station was determined to be built in the toe of the old dam which had been identified as a dangerous dam. The new dam during construction would be impacted by the high‐speed flow discharged from the old dam. This is an important problem met for the first time in China, which would affect the whole project construction. The purpose of this paper is to describe a series of erosion experiments of the new dam material.

A kind of high‐speed flow erosion test apparatus was developed for erosion experiment of the new dam material. The maximum jet velocity was up to 40 m/s and the section area of the nozzle was 25 cm². In the process of experiments, the equipment showed its good performance. Erosive wear tests of two types of materials used in the new dam, a roller compacted concrete and a distorted concrete with four kinds of ages were carried out with the flow velocity in the range of 30‐35 m/s.

Erosion parameters and erosion laws of the two types of concretes with different ages were obtained, and a general relationship had been found between erosion rate and flow velocity: with velocity exponent between 3.33 and 3.93. It was also concluded that the erosion resistance of the distorted concrete was better than that of the roller compacted concrete and the mechanics properties of the concretes of over 14 days age was influenced slightly by water impacted.

The test results would play a practical technique guide role for the safety of this project during construction in the flood season.

Important developments of China's securities markets within the last two years, namely, the Share Reform, the warrant market, the innovative listed open-end funds (and exchange-traded funds), corporate bonds with detachable warrants, exchange-traded asset-backed securities, are described. The discussion focuses on unique, innovative features of these products, as compared to their counterparts available in more mature markets (when applicable), and points to possible future research themes. The proposed rules with regard to stock index futures and credit trading are also discussed.

The explosion of data due to the sophistication of information and communication technology makes it simple for prospective tourists to learn about previous hotel guests' experiences. They prioritize the rating score when selecting a hotel. However, rating scores are less reliable for suggesting a personalized preference for each aspect, especially when they are in a limited number. This study aims to recommend ratings and personalized preference hotels using cross-domain and aspect-based features.

We propose an aspect-based cross-domain personalized recommendation (AsCDPR), a novel framework for rating prediction and personalized customer preference recommendations. We incorporate a cross-domain personalized approach and aspect-based features of items from the review text. We extracted aspect-based feature vectors from two domains using bidirectional long short-term memory and then mapped them by a multilayer perceptron (MLP). The cross-domain recommendation module trains MLP to analyze sentiment and predict item ratings and the polarities of the aspect based on user preferences.

Expanded by its synonyms, aspect-based features significantly improve the performance of sentiment analysis on accuracy and the F1-score matrix. With relatively low mean absolute error and root mean square error values, AsCDPR outperforms matrix factorization, collaborative matrix factorization, EMCDPR and Personalized transfer of user preferences for cross-domain recommendation. These values are 1.3657 and 1.6682, respectively.

This study assists users in recommending hotels based on their priority preferences. Users do not need to read other people's reviews to capture the key aspects of items. This model could enhance system reliability in the hospitality industry by providing personalized recommendations.

This study introduces a new approach that embeds aspect-based features of items in a cross-domain personalized recommendation. AsCDPR predicts ratings and provides recommendations based on priority aspects of each user's preferences.

The purpose of this paper in the editorial review of manuscripts to highlight the emergent aspects of original thinking that provide new perspectives on issues central to management.

A synoptic perspective of a very broad range of topics covered in research by scholars is provided: education, corporate value, quality, corporate social responsibility, risk behavior, managing reputation, expatriation, growth and creativity. In this particular review, the editor emphasizes those facets of the paper that shed original, new light on management. Also, the areas where research provides a theoretical basis for consulting or managerial practice are highlighted to illustrate how research can be of practical relevance.

Some of the insights gained clearly indicate the importance of research. For example, tighter or more rigorous governmental regulations on food quality are unlikely to contribute to the enhancement of firms’ capability in improving food quality. The government needs to do much more than only regulate. Then, there is empirical reaffirmation that guan-xi with government matters: better the relationships, the higher corporate value but only if the firm is in private hands, not for state-owned enterprises (SOEs). Then, the Chinese local firms’ nexus with foreign, and international corporations influences their corporate social performance. Even more fascinating, a bank’s risk behavior is dependent on the structural composition of the board of directors. Indeed, research shows that a gender mix in fact lowers the propensity toward taking a high risk. Then, through reflecting upon their deep researches, the authors derive a theoretic framework for coping with reputation loss following a financial restatement. Here, authors showed SOEs to suffer much more in the event of restatement than the privately owned enterprises. Then, in a piece of innovative research of expatriation, authors relate a spectrum of the Chinese cultural values to performance. In a cross-country (civilization) study, the research motivation is: Whether SMEs in China, India and Pakistan are confronting the same environmental challenges? As expected, the answer would be yes in some aspects and no in others. This a significant finding, as the Chinese are raised on a milieu of suppressing one’s emotions: emotional expressiveness can contribute to creativity!

In this paper, the editor highlights some aspects on the original thinking of the authors within this issue of Chinese Management Studies. Also, the editor highlights on how research contained herein is contributing to managerial (consulting) practice.

Information sharing enhances the supply chain profitability significantly, but it may result in adverse impacts also (e.g. leakages of secret information to competitors, sharing of wrong information that result into losses). So, it is important to understand the various risk factors that lead to distortion in information sharing and results in negative consequences. Information risk identification and assessment in supply chain would help in choosing right mitigation strategies. The purpose of this paper is to identify various information risks that could impact a supply chain, and develop a conceptual framework to quantify them.

Bayesian belief network (BBN) modeling will be used to provide a framework for information risk analysis in a supply chain. Bayesian methodology provides the reasoning in causal relationship among various risk factors and incorporates both objective and subjective data.

This paper presents a causal relationship among various information risks in a supply chain. Three important risk factors, namely, information security, information leakages and reluctance toward information sharing showed influence on a company’s revenue.

Capability of Bayesian networks while modeling in uncertain conditions, provides a prefect platform for analyzing the risk factors. BBN provides a more robust method for studying the impact or predicting various risk factors.

The major contribution of this paper is to develop a quantitative model for information risks in supply chain. This model can be updated when a new data arrives.

Clinical notes typically contain medical jargons and specialized words and phrases that are complicated and technical to most people, which is one of the most challenging obstacles in health information dissemination to consumers by healthcare providers. The authors aim to investigate how to leverage machine learning techniques to transform clinical notes of interest into understandable expressions.

The authors propose a natural language processing pipeline that is capable of extracting relevant information from long unstructured clinical notes and simplifying lexicons by replacing medical jargons and technical terms. Particularly, the authors develop an unsupervised keywords matching method to extract relevant information from clinical notes. To automatically evaluate completeness of the extracted information, the authors perform a multi-label classification task on the relevant texts. To simplify lexicons in the relevant text, the authors identify complex words using a sequence labeler and leverage transformer models to generate candidate words for substitution. The authors validate the proposed pipeline using 58,167 discharge summaries from critical care services.

The results show that the proposed pipeline can identify relevant information with high completeness and simplify complex expressions in clinical notes so that the converted notes have a high level of readability but a low degree of meaning change.

The proposed pipeline can help healthcare consumers well understand their medical information and therefore strengthen communications between healthcare providers and consumers for better care.

An innovative pipeline approach is developed to address the health literacy problem confronted by healthcare providers and consumers in the ongoing digital transformation process in the healthcare industry.